| Predicate |
Object |
| assignee |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_ee001bcc0d790cfeb18cce25a26cd57e |
| classificationCPCAdditional |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2211-441
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10132
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10081
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2211-424
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T11-006
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-0012 |
| classificationIPCInventive |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N20-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T11-00
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08 |
| filingDate |
2018-09-24-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| inventor |
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e26a988b3922028f47ca41431315aafe
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_9cb3b1f1128743461fe240fb59b5250b
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_da3e539f5bb0f16dc4216e0bbf1d3e96 |
| publicationDate |
2020-09-03-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber |
US-2020279411-A1 |
| titleOfInvention |
Image Reconstruction Using Machine Learning Regularizers |
| abstract |
A system and method for reconstructing an image of a target object using an iterative reconstruction technique can include a machine learning model as a regularization filter ( 100 ). An image data set for a target object generated using an imaging modality can be received, and an image of the target object can be reconstructed using an iterative reconstruction technique that includes a machine learning model as a regularization filter ( 100 ) used in part to reconstruct the image of the target object. The machine learning model can be trained prior to receiving the image data using learning datasets that have image data associated with the target object, where the learning datasets providing objective data for training the machine learning model, and the machine learning model can be included in the iterative reconstruction technique to introduce the object features into the image of the target object being reconstructed. |
| isCitedBy |
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11790598-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2022189100-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023007227-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11696740-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-2023027135-A1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11676330-B2
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11676329-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11461962-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-11556172-B1
http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2023114265-A1 |
| priorityDate |
2017-09-22-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type |
http://data.epo.org/linked-data/def/patent/Publication |